How to use SQLAlchemy ORM to access CloudConvert Data in Python

The rich ecosystem of Python modules lets you get to work quickly and integrate your systems effectively. With the CData API Driver for Python and the SQLAlchemy toolkit, you can build CloudConvert-connected Python applications and scripts. This article shows how to use SQLAlchemy to connect to CloudConvert data to query CloudConvert data.

With built-in optimized data processing, the CData Python Connector offers unmatched performance for interacting with live CloudConvert data in Python. When you issue complex SQL queries from CloudConvert, the CData Connector pushes supported SQL operations, like filters and aggregations, directly to CloudConvert and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).

Connecting to CloudConvert Data

Connecting to CloudConvert data looks just like connecting to any relational data source. Create a connection string using the required connection properties. For this article, you will pass the connection string as a parameter to the create_engine function.

CloudConvert uses API key authentication. Your CloudConvert API key is used to authenticate requests as a Bearer token. You can generate or view your keys at https://cloudconvert.com/dashboard/api/v2/keys.

Using API Key Authentication

After setting the following connection properties, you are ready to connect:

• AuthScheme: Set this to APIKey.
• APIKey: Set this to your CloudConvert API key.

Example connection string:

Profile=C:\profiles\CloudConvert.apip;AuthScheme=APIKey;ProfileSettings="APIKey=your_api_key";

Follow the procedure below to install SQLAlchemy and start accessing CloudConvert through Python objects.

Install Required Modules

Use the pip utility to install the SQLAlchemy toolkit and SQLAlchemy ORM package:

pip install sqlalchemy
pip install sqlalchemy.orm

Be sure to import the appropriate modules:

from sqlalchemy import create_engine, String, Column
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker

Model CloudConvert Data in Python

You can now connect with a connection string. Use the create_engine function to create an Engine for working with CloudConvert data.

NOTE: Users should URL encode the any connection string properties that include special characters. For more information, refer to the SQL Alchemy documentation.

engine = create_engine("api:///?Profile=C:\profiles\CloudConvert.apip&AuthScheme=APIKey&ProfileSettings="APIKey=your_api_key"")

Declare a Mapping Class for CloudConvert Data

After establishing the connection, declare a mapping class for the table you wish to model in the ORM (in this article, we will model the Jobs table). Use the sqlalchemy.ext.declarative.declarative_base function and create a new class with some or all of the fields (columns) defined.

base = declarative_base()
class Jobs(base):
	__tablename__ = "Jobs"
	 = Column(String,primary_key=True)
	 = Column(String)
	...

Query CloudConvert Data

With the mapping class prepared, you can use a session object to query the data source. After binding the Engine to the session, provide the mapping class to the session query method.

Using the query Method

engine = create_engine("api:///?Profile=C:\profiles\CloudConvert.apip&AuthScheme=APIKey&ProfileSettings="APIKey=your_api_key"")
factory = sessionmaker(bind=engine)
session = factory()
for instance in session.query(Jobs).filter_by(=""):
	print(": ", instance.)
	print(": ", instance.)
	print("---------")

Alternatively, you can use the execute method with the appropriate table object. The code below works with an active session.

Using the execute Method

Jobs_table = Jobs.metadata.tables["Jobs"]
for instance in session.execute(Jobs_table.select().where(Jobs_table.c. == "")):
	print(": ", instance.)
	print(": ", instance.)
	print("---------")

For examples of more complex querying, including JOINs, aggregations, limits, and more, refer to the Help documentation for the extension.

Free Trial & More Information

Download a free, 30-day trial of the CData API Driver for Python to start building Python apps and scripts with connectivity to CloudConvert data. Reach out to our Support Team if you have any questions.